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<div class="title">ODCascadeDetector.h</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">Copyright (c) 2015, Kripasindhu Sarkar</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">All rights reserved.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">Redistribution and use in source and binary forms, with or without</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">modification, are permitted provided that the following conditions are met:</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * Redistributions of source code must retain the above copyright</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> notice, this list of conditions and the following disclaimer.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * Redistributions in binary form must reproduce the above copyright</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> notice, this list of conditions and the following disclaimer in the</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> documentation and/or other materials provided with the distribution.</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * Neither the name of the copyright holder(s) nor the</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> names of its contributors may be used to endorse or promote products</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> derived from this software without specific prior written permission.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment">ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">DISCLAIMED. IN NO EVENT SHALL COPYRIGHT HOLDER BE LIABLE FOR ANY</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment">*/</span><span class="comment">//</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">// Created by sarkar on 17.07.15.</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment">//</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#ifndef OPENDETECTION_ODCASCADEDETECTOR_H</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor"></span><span class="preprocessor">#define OPENDETECTION_ODCASCADEDETECTOR_H</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "common/pipeline/ODDetector.h"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "common/pipeline/ODScene.h"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "common/utils/utils.h"</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "common/utils/ODFeatureDetector2D.h"</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <iostream></span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <opencv2/opencv.hpp></span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>od</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div>
<div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="namespaceod_1_1g2d.html"> 43</a></span>  <span class="keyword">namespace </span>g2d</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {<span class="comment"></span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> /** \brief A class for detection using Cascade classifiers.</span></div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> * Given a scene and a cascade classifier, this class performs a classification and returns detections. The training is not supported in OD currently but is compatible to the cascade training of OpenCV.</span></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> * Train your cascade classifiers using OpenCV's *opencv_traincascade* utility (http://docs.opencv.org/master/dc/d88/tutorial_traincascade.html#gsc.tab=0). It is a great tool for traning your cascade.</span></div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> * Paste the generated xml in trained_data_location_/TD_CASCADE/\*.cascade.xml to use your trained cascade.</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * \author Kripasindhu Sarkar</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div>
<div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classod_1_1g2d_1_1_o_d_cascade_detector.html"> 54</a></span>  <span class="keyword">class </span><a class="code" href="classod_1_1g2d_1_1_o_d_cascade_detector.html">ODCascadeDetector</a> : <span class="keyword">public</span> <a class="code" href="classod_1_1_o_d_detector2_d.html">ODDetector2D</a></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div>
<div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classod_1_1g2d_1_1_o_d_cascade_detector.html#ae09535635933358a936f5ab3c8d6ded2"> 58</a></span>  <a class="code" href="classod_1_1g2d_1_1_o_d_cascade_detector.html#ae09535635933358a936f5ab3c8d6ded2">ODCascadeDetector</a>(std::string <span class="keyword">const</span> &trained_data_location = <span class="stringliteral">""</span>, <span class="keywordtype">double</span> scaleFactor = 1.1, <span class="keywordtype">int</span> minNeighbors = 3, <span class="keywordtype">int</span> flags = 0, cv::Size minSize = cv::Size(), cv::Size maxSize = cv::Size())</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  : <a class="code" href="classod_1_1_o_d_detector2_d.html">ODDetector2D</a>(trained_data_location), scaleFactor_(scaleFactor), minNeighbors_(minNeighbors), minSize_(minSize), maxSize_(maxSize)</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classod_1_1_o_d_detector_common.html#ae5d56c77d26f3770a9aa6517f2e63630">TRAINED_LOCATION_DENTIFIER_</a> = <span class="stringliteral">"CASCADE"</span>;</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classod_1_1_o_d_detector_common.html#a7b950184a73271b19b0657fe70a3a66f">TRAINED_DATA_ID_</a> = <span class="stringliteral">"cascade.xml"</span>;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classod_1_1_o_d_detector.html#a1e65ee754ba37db23c18295a83c4ca6a">metainfo_</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  }</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
<div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classod_1_1g2d_1_1_o_d_cascade_detector.html#a08daea146a957a577ede2c0c74fdab4b"> 66</a></span>  <span class="keywordtype">void</span> <a class="code" href="classod_1_1g2d_1_1_o_d_cascade_detector.html#a08daea146a957a577ede2c0c74fdab4b">init</a>()</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  haar_cascade_ = boost::make_shared<cv::CascadeClassifier>(<a class="code" href="classod_1_1_file_utils.html#a68b85f602447ff65f31b1153b0b7f837">FileUtils::getFirstFile</a>(<a class="code" href="classod_1_1_o_d_detector_common.html#a1403c4fad4d452ac51018b0f5212a14d">getSpecificTrainingDataLocation</a>(),</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classod_1_1_o_d_detector_common.html#a7b950184a73271b19b0657fe70a3a66f">TRAINED_DATA_ID_</a>));</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classod_1_1_o_d_detections2_d.html">ODDetections2D</a> *<a class="code" href="classod_1_1g2d_1_1_o_d_cascade_detector.html#a2ea123281500acd9be45f1262107eab3">detectOmni</a>(<a class="code" href="classod_1_1_o_d_scene_image.html">ODSceneImage</a> *scene);</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classod_1_1_o_d_detections.html">ODDetections</a>* <a class="code" href="classod_1_1g2d_1_1_o_d_cascade_detector.html#a37b0d1c71d756b5bd0728acf60131eef">detect</a>(<a class="code" href="classod_1_1_o_d_scene_image.html">ODSceneImage</a> *scene);</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  boost::shared_ptr<cv::CascadeClassifier> haar_cascade_;</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">double</span> scaleFactor_;</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordtype">int</span> minNeighbors_;</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  cv::Size minSize_;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  cv::Size maxSize_;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  };<span class="comment"></span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> /** \example objectdetector/od_image_cascade.cpp</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> * \example objectdetector/od_image_cascade_files.cpp</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="preprocessor">#endif //OPENDETECTION_ODCASCADEDETECTOR_H</span></div>
<div class="ttc" id="classod_1_1_o_d_detector_common_html_ae5d56c77d26f3770a9aa6517f2e63630"><div class="ttname"><a href="classod_1_1_o_d_detector_common.html#ae5d56c77d26f3770a9aa6517f2e63630">od::ODDetectorCommon::TRAINED_LOCATION_DENTIFIER_</a></div><div class="ttdeci">std::string TRAINED_LOCATION_DENTIFIER_</div><div class="ttdef"><b>Definition:</b> <a href="_object_detector_8h_source.html#l00131">ObjectDetector.h:131</a></div></div>
<div class="ttc" id="classod_1_1_o_d_detector_common_html_a7b950184a73271b19b0657fe70a3a66f"><div class="ttname"><a href="classod_1_1_o_d_detector_common.html#a7b950184a73271b19b0657fe70a3a66f">od::ODDetectorCommon::TRAINED_DATA_ID_</a></div><div class="ttdeci">std::string TRAINED_DATA_ID_</div><div class="ttdef"><b>Definition:</b> <a href="_object_detector_8h_source.html#l00131">ObjectDetector.h:131</a></div></div>
<div class="ttc" id="classod_1_1g2d_1_1_o_d_cascade_detector_html"><div class="ttname"><a href="classod_1_1g2d_1_1_o_d_cascade_detector.html">od::g2d::ODCascadeDetector</a></div><div class="ttdoc">A class for detection using Cascade classifiers. </div><div class="ttdef"><b>Definition:</b> <a href="_o_d_cascade_detector_8h_source.html#l00054">ODCascadeDetector.h:54</a></div></div>
<div class="ttc" id="classod_1_1g2d_1_1_o_d_cascade_detector_html_a08daea146a957a577ede2c0c74fdab4b"><div class="ttname"><a href="classod_1_1g2d_1_1_o_d_cascade_detector.html#a08daea146a957a577ede2c0c74fdab4b">od::g2d::ODCascadeDetector::init</a></div><div class="ttdeci">void init()</div><div class="ttdef"><b>Definition:</b> <a href="_o_d_cascade_detector_8h_source.html#l00066">ODCascadeDetector.h:66</a></div></div>
<div class="ttc" id="classod_1_1g2d_1_1_o_d_cascade_detector_html_a2ea123281500acd9be45f1262107eab3"><div class="ttname"><a href="classod_1_1g2d_1_1_o_d_cascade_detector.html#a2ea123281500acd9be45f1262107eab3">od::g2d::ODCascadeDetector::detectOmni</a></div><div class="ttdeci">ODDetections2D * detectOmni(ODSceneImage *scene)</div><div class="ttdoc">Function for performing detection on an entire scene. </div></div>
<div class="ttc" id="classod_1_1_o_d_detector_html_a1e65ee754ba37db23c18295a83c4ca6a"><div class="ttname"><a href="classod_1_1_o_d_detector.html#a1e65ee754ba37db23c18295a83c4ca6a">od::ODDetector::metainfo_</a></div><div class="ttdeci">bool metainfo_</div><div class="ttdef"><b>Definition:</b> <a href="_o_d_detector_8h_source.html#l00061">ODDetector.h:61</a></div></div>
<div class="ttc" id="classod_1_1g2d_1_1_o_d_cascade_detector_html_ae09535635933358a936f5ab3c8d6ded2"><div class="ttname"><a href="classod_1_1g2d_1_1_o_d_cascade_detector.html#ae09535635933358a936f5ab3c8d6ded2">od::g2d::ODCascadeDetector::ODCascadeDetector</a></div><div class="ttdeci">ODCascadeDetector(std::string const &trained_data_location="", double scaleFactor=1.1, int minNeighbors=3, int flags=0, cv::Size minSize=cv::Size(), cv::Size maxSize=cv::Size())</div><div class="ttdef"><b>Definition:</b> <a href="_o_d_cascade_detector_8h_source.html#l00058">ODCascadeDetector.h:58</a></div></div>
<div class="ttc" id="classod_1_1_o_d_scene_image_html"><div class="ttname"><a href="classod_1_1_o_d_scene_image.html">od::ODSceneImage</a></div><div class="ttdoc">Class for Image Scene. </div><div class="ttdef"><b>Definition:</b> <a href="_o_d_scene_8h_source.html#l00069">ODScene.h:69</a></div></div>
<div class="ttc" id="classod_1_1g2d_1_1_o_d_cascade_detector_html_a37b0d1c71d756b5bd0728acf60131eef"><div class="ttname"><a href="classod_1_1g2d_1_1_o_d_cascade_detector.html#a37b0d1c71d756b5bd0728acf60131eef">od::g2d::ODCascadeDetector::detect</a></div><div class="ttdeci">ODDetections * detect(ODSceneImage *scene)</div><div class="ttdoc">Function for performing detection on a segmented scene. </div></div>
<div class="ttc" id="classod_1_1_o_d_detector_common_html_a1403c4fad4d452ac51018b0f5212a14d"><div class="ttname"><a href="classod_1_1_o_d_detector_common.html#a1403c4fad4d452ac51018b0f5212a14d">od::ODDetectorCommon::getSpecificTrainingDataLocation</a></div><div class="ttdeci">std::string getSpecificTrainingDataLocation()</div><div class="ttdoc">Gets the specific directory for a Trainer or a Detector inside trained_data_location_. </div><div class="ttdef"><b>Definition:</b> <a href="_object_detector_8h_source.html#l00109">ObjectDetector.h:109</a></div></div>
<div class="ttc" id="classod_1_1_file_utils_html_a68b85f602447ff65f31b1153b0b7f837"><div class="ttname"><a href="classod_1_1_file_utils.html#a68b85f602447ff65f31b1153b0b7f837">od::FileUtils::getFirstFile</a></div><div class="ttdeci">static std::string getFirstFile(std::string base_path, std::string extension)</div><div class="ttdef"><b>Definition:</b> <a href="utils_8h_source.html#l00192">utils.h:192</a></div></div>
<div class="ttc" id="classod_1_1_o_d_detections2_d_html"><div class="ttname"><a href="classod_1_1_o_d_detections2_d.html">od::ODDetections2D</a></div><div class="ttdoc">The container class for ODDetection2D returned by ODDetector2D. </div><div class="ttdef"><b>Definition:</b> <a href="_o_d_detection_8h_source.html#l00340">ODDetection.h:340</a></div></div>
<div class="ttc" id="classod_1_1_o_d_detections_html"><div class="ttname"><a href="classod_1_1_o_d_detections.html">od::ODDetections</a></div><div class="ttdoc">The container class for ODDetection. </div><div class="ttdef"><b>Definition:</b> <a href="_o_d_detection_8h_source.html#l00275">ODDetection.h:275</a></div></div>
<div class="ttc" id="classod_1_1_o_d_detector2_d_html"><div class="ttname"><a href="classod_1_1_o_d_detector2_d.html">od::ODDetector2D</a></div><div class="ttdoc">The detector of 2D scene. </div><div class="ttdef"><b>Definition:</b> <a href="_o_d_detector_8h_source.html#l00072">ODDetector.h:72</a></div></div>
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